NUS
 
ISS
 

Data Science

Driving business decisions using insights from Data

The purpose of data science is to draw actionable insights for better business outcomes. These could be simple insights that describe the patterns in data to sophisticated techniques that predict metrics. Organisations world over are recognising the value of analytics and it is becoming a horizontal must have and in some cases a competitive advantage.

The growth of data is only poised to increase and managing data becomes critically important. The demand for data scientists has not kept pace with the requirement leading to Data Science being a sought after skill.

The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace.

At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Our stackable modules give learners the ability to choose the exact set of skills they want to master. For those who are keen to delve deeper into an analytics career, the stackable pathway could lead you to a gaining the qualification of Master of Technology in Enterprise Business Analytics.




Training Roadmap

Management of Business Analytics Project
Business Analytics Practice
Customer Analytics
Big Data Processing
Practical Language Processing
Predictive Modelling and Forecasting
Digital Marketing
Model Implementation
Data Science/Artificial Intelligence for Finance




Corporate Classes
We are happy to conduct our courses in-house at your organisation.Email ask-iss@nus.edu.sg to find out more today.

 

Teaching Staff

  • Charles PANG

    Charles PANG

    "Charles lectures and consults on artificial intelligence, knowledge engineering and knowledge ..."

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  • Brian ANG

    Brian ANG

    "Prior to joining NUS-ISS, he was an Assistant Director with the ..."

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  • Christine CHEONG

    Christine CHEONG

    "Christine is currently a Principal Lecturer and Consultant with the NUS-ISS. She ..."

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  • Dave HO

    Dave HO

    "Dave Ho is an experienced data leader and practitioner who is ..."

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  • NIE Maowen

    NIE Maowen

    "Nie Maowen has more than 10 years of experience in data ..."

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  • NI Wangdong

    NI Wangdong

    "Dr. Ni Wangdong has over a decade of extensive industry experience ..."

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